The early work of neural machine translation can not exceed the statistical machine translation at the same period for GEC task [1]}, [2]}.
Chollampatt et al. use a multilayer convolutional encoder-decoder neural network which outperforms the current state-of-the-art statistical machine translation-based approach [3]}. Grundkiewicz et al. believe that statistical machine translation could not be replaced by deep neural networks. They combine the RNN with a phrase-based SMT system to achieve a higher score [4]}. Junczys-Dowmunt et al. apply Transformer [5]} to the GEC task and achieves good performance [6]}.
